Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<pre>This study describes a high-resolution in-vivo magnetic resonance imaging atlas of the human hypothalamic region. We employed a minimum deformation averaging (MDA) pipeline to produce a normalized (MNI152b), high-resolution template from multimodal (T1w and T2w) magnetic resonance imaging (MRI) datasets. 990 subjects derived from the HCP1200 data release were included in this study. This template was used to delineate hypothalamic (n=13) and extrahypothalamic (n=12) gray and white matter structures. The high-contrast, high-resolution MDA template images in 0.25 and 0.5 millimeter isotropic resolution: MDA_990HCP_t1_MNI152b_0.25.nii.gz MDA_990HCP_t1_MNI152b_0.5.nii.gz MDA_990HCP_t2_MNI152b_0.25.nii.gz MDA_990HCP_t2_MNI152b_0.5.nii.gz Files of the hypothalamic region atlas segmentation (tables (.csv) and images (nifti format)): -a table with the structure name, abbreviation and label number: Volumes_names-labels.csv -the full volume segmentation in 0.25 and 0.5 millimeter isotropic resolution: MDA_990HCP_atlas_labels_0.25mm.nii.gz MDA_990HCP_atlas_labels_0.5mm.nii.gz -an archive of binary images of each structure separately: MDA_990HCP_isolated_nuclei_0.25mm_resolution.zip -an archive of the three example clinical datasets containing the three labels delineating the volume of tissue activated (VTA) of the two DBS patients (example 1 Alzheimer patient with forniceal DBS; example 2 patient receiving DBS for morbid obesity) and the label delineating the metastasis of example 3. These labels are provided in MNI152b space for two reasons: 1) to allow for visualization of the label in relation to the hypothalamic atlas 2) to protect patient confidentiality example_labels_MNI152_template_space.zip A set of the final hypothalamic region atlas segmentation is also provided aligned to the MNI152 2009b template: -the full volume segmentation in 0.25 and 0.5 millimeter isotropic resolution: MNI152b_atlas_labels_0.25mm.nii.gz MNI152b_atlas_labels_0.5mm.nii.gz -an archive of binary images of each structure separately: MNI152b_isolated_nuclei_0.25mm_resolution.zip MNI152b_isolated_nuclei_0.5mm_resolution.zip Tables that describe the average structure volumes in the subjects used to generate the MDAs: Average_hypothalamic_volumes_by_Sex.csv Average_left_right_hemispheric_hypothalamic_volumes.csv Estimated_volumes_of_hypothalamus_proper_its_divisions_and_nuclei.csv Authors: Clemens Neudorfer, Jürgen Germann, Gavin J.B. Elias, Robert Gramer, Alexandre Boutet, Andres M. Lozano Affiliations: Division of Neurosurgery, Depatment of Surgery, Toronto Western Hospital, University of Toronto, Canada. </pre>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.013 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it